Key Resources
- Teaching time series in our covid-affected era
- Probability for teachers
- Probability distributions for teachers
- Events occurring in time, the Poisson distribution, and Scampy
- Interactive Visualizations for Conditional Probability: Eikosograms and Pachinkograms
- Conceptual pathways: Experiments and the Randomisation Test
- Videos: Bad data
- Guidelines for "How to make the call"
- Videos: numeric-variables
- Caught in the path of the data deluge
- Video: Introduction to Relationships
- Video: Comparing Groups
- Videos: Random error - the motivation for inference [7 min, 6 min]
- Next Steps
- Video: Randomisation Test [7:45]
- Video: Randomisation Variation [6:01]
- Video: Randomised Experiments [5:24]
- Resources for the "big ideas" behind Statistical reports
- Animations of sampling variation
- Videos: Seasonal Decomposition and Forecasting [6 min + 5 min]
- Video: Trend, scatter and outliers [6:42]
- Video: Relationships Between Numeric Variables [5 min]
- Article: Confidence intervals – What matters most?
- Star Trek Inference Tour
- Animations for teaching bootstrapping and randomisation
- Video: Do Bootstrap Confidence Intervals work? [6 min]
- Video: Confidence Intervals from Bootstrap Resampling [8 min]
- Video: Towards Confidence Intervals [5 min]
- Videos: Some next steps
- Video: More about Relationships [1:32]
- Video: Lines, curves and smoothers [4 min]
- Video: Comparing Series [ 4 min]
- Video: Introducing Time Series Data [4:38]
Teacher Preparation
- Teaching time series in our covid-affected era
- Probability for teachers
- Probability distributions for teachers
- Interactive Visualizations for Conditional Probability: Eikosograms and Pachinkograms
- Conceptual pathways: Experiments and the Randomisation Test
- Videos: Bad data
- Guidelines for "How to make the call"
- Videos: numeric-variables
- Caught in the path of the data deluge
- Informal statistical inference revisited
- Statistical thinking in empirical enquiry
- Video: Introduction to Relationships
- Video: Comparing Groups
- Videos: Random error - the motivation for inference [7 min, 6 min]
- Next Steps
- Video: Randomisation Test [7:45]
- Video: Randomisation Variation [6:01]
- Video: Randomised Experiments [5:24]
- Resources for the "big ideas" behind Statistical reports
- Animations of sampling variation
- Videos: Seasonal Decomposition and Forecasting [6 min + 5 min]
- Video: Trend, scatter and outliers [6:42]
- Video: Relationships Between Numeric Variables [5 min]
- Building inferential reasoning in statistics Part 1
- A teachers's guide to informal comparative reasoning
- Telling Data Stories: Essential Dialogues for Comparative Reasoning
- Article: Confidence intervals – What matters most?
- Dynamic Visualizations for Inference
- Star Trek Inference Tour
- Animations for teaching bootstrapping and randomisation
- Video: Do Bootstrap Confidence Intervals work? [6 min]
- Video: Confidence Intervals from Bootstrap Resampling [8 min]
- Video: Towards Confidence Intervals [5 min]
- Videos: Some next steps
- Video: More about Relationships [1:32]
- Changing Needs in a Changing World
- Video: Lines, curves and smoothers [4 min]
- Video: Comparing Series [ 4 min]
- Video: Introducing Time Series Data [4:38]
Classroom Activities
- Adding spice to statistics with dynamic and interactive graphics
- Events occurring in time, the Poisson distribution, and Scampy
- TS Exercises for iNZight & iNZight Lite
